IXD101 ( 30249 ) - Interaction Design Fundamentals. 2022-23
What is Artificial Intelligence?
AI (Artificial Intelligence) refers to the simulation of human intelligence in machines that are designed to think and act like humans. It involves the creation of algorithms and software that can perform tasks that would normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
There are several types of AI, including:
- Reactive machines: AI systems that can only respond to specific situations, but cannot form memories or use past experiences to inform future decisions.
- Limited memory: AI systems that can store and recall limited information, but still lack the ability to use past experiences to inform future decisions.
- Theory of mind: AI systems that possess an understanding of mental states and can interpret human behaviour.
- Self-aware: AI systems that have a sense of self and consciousness.
AI technology has numerous applications across various industries, including healthcare, finance, transportation, and education. It is being used to develop new and innovative products, automate routine tasks, improve decision-making processes, and enhance customer experiences.
Examples
Examples of AI technology include:
- Virtual personal assistants: Siri, Alexa, and Google Assistant are examples of AI-powered virtual personal assistants that can perform tasks such as scheduling appointments, playing music, and providing information.
- Image and speech recognition: AI algorithms are used in image and speech recognition systems to identify and categorize visual and auditory information.
- Recommendation systems: AI algorithms are used in recommendation systems to suggest products, services, or content based on a user's preferences and past behaviours.
- Autonomous vehicles: AI algorithms are being used to develop autonomous vehicles that can drive themselves without human intervention.
- Fraud detection: AI algorithms are used in finance to detect and prevent fraud by analysing patterns in transaction data.
- Healthcare: AI algorithms are used in healthcare to diagnose diseases, develop personalized treatment plans, and analyse medical imaging.
- Natural language processing: AI algorithms are used in natural language processing to analyse and understand human language, enabling applications such as language translation and sentiment analysis.